Why You Should Not Learn to Code (as an ex-Google programmer)

Ex-Google/ex-Facebook TechLead explains what you absolutely need to know about being a software engineer.

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Why You Should Not Learn to Code (as an ex-Google programmer)

Learning to Code: How to Boost Up the Process?

Let’s face it: people are impatient by nature and most likely want things to happen faster in their lives. I would apply the same to code learners. Students, when starting to learn programming, first wonder how to speed up the training and make a career as a programmer as soon as possible.

I am not the one who convinces everyone that learning to program is a lightning-fast journey — the other thing is that it is not as difficult as people think. All boils down to interest, passion, regular practice, and patience, of course. I also often recommend different online and offline resources to my students to make their learning process easier, more effective, and faster. And in this post, I will share a few tips with you.

So, How to Learn Programming Languages Faster?

These tips are not magic pills and probably won’t make you a professional developer in a week, but they will definitely make your life easier, while the learning process won’t be that intimidating, vague, and boring. Besides, following all of them together may speed up training.

So, without any further delay, let’s get to them.

Consolidate Your Knowledge by Practicing More

No matter how simple a new subject is, it still requires you to consolidate your knowledge. Starting to play with code soon after you’ve completed the next section helps you learn the given concepts faster and feel confident when writing your first line of code. Fortunately, the web is full of platforms, where you can start practicing shortly.

Let’s consider them in detail.

#coding #learn-to-code #learning #programming #learning-to-code #machine-learning

Jon  Gislason

Jon Gislason

1619247660

Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus

Samanta  Moore

Samanta Moore

1624955940

12 Common Java Mistakes Made by Newcomers

Everyone makes mistakes, not just beginners, but even professionals. This article goes over a dozen common mistakes that Java newbies and newcomers make and how to avoid them. Have you or your colleagues made any of these common Java mistakes early in your career?

Everyone makes mistakes, not only learners or beginners but professionals. As a programming course, the CodeGym team often collects mistakes of newbies to improve our auto validator. This time we decided to interview experienced programmers about mistakes in Java they made closer to their careers start or noticed them among their young colleagues.

We collected their answers and compiled this list of dozen popular mistakes Java beginners make. The order of errors is random and does not carry any special meaning.

#java #learn-java #java-programming #beginners #beginners-to-coding #learning-to-code #learn-to-code #learn-to-code-java

Matteo  Renner

Matteo Renner

1617792300

The Most Important Programming Lesson I Ever Learned

In the fall of 2012, I walked into my graduate advisor’s office and asked her which computer science class she recommended for me to enroll in. I explained that I was a complete novice in programming. She suggested Introduction to C Programming.

After attending a few lectures, I discover that the majority of the students I spoke to in this introductorycourse had some prior experience in programming.

Six weeks and 80 hours of work later, I dropped the course.

Enter spring semester of 2013. I enrolled in an easier computer science course, Introduction to Computer Programming via the Web. I breezed through the first quarter of the course, executing HTML and CSS with ease. Then, we started Javascript (JS). That feeling of constant anxiety and stress from my previous computer science course returned in full fashion. It was too late in the semester to drop the course, so I asked a friend for help.

#debugging #learning-to-code #learning-to-program #computer-science-basics #how-to-start-learning-to-code #python-programming #learn-javascript #learn-python #web-monetization

Abigail betty

Abigail betty

1622219640

Why You Should Not Learn to Code (as an ex-Google programmer)

Ex-Google/ex-Facebook TechLead explains what you absolutely need to know about being a software engineer.
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